code: def ldmatrix_32x8_to_shared_16x16_layout(thread_id, local_id):
      row = 8 * (local_id % 4 // 2) + (thread_id // 4)
      col = 8 * (local_id // 4) + (thread_id % 4) * 2 + (local_id % 2)
      return row, col
  
imports: from typing import Dict, Optional, Tuple, Literal
  from tvm._ffi import register_func
  from tvm.runtime import convert
  from tvm.script import tir
  from tvm.tir.function import PrimFunc
  from tvm.tir import Cast, IntImm, TensorIntrin
label_desc: Use image node_id 4 for calling a global function with example usage: ldmatrix_32x8_to_shared_16x16_layout(thread_id, local_id) and returns: row,  col